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Multimedia security has become a serious issue in this digital world, as more and more industries and people are turning towards digitalization. The existing encryption standards are successful in securing textual data but are not very effective for safeguarding multimedia data like images and videos. This stimulates the urge for development of new encryption systems and tools that can address the multimedia security issue. In this work we present a multimedia encryption mechanism that secures multimedia data with the help of chaotic logistic map and linear feedback shift register (LFSR). The use of chaotic map helps in providing the confusion and diffusion properties required for the encryption algorithm and also make it robust and efficient. The experimental results and analysis show that it exhibits high entropy, security against various cyber-attacks and also has lesser time and space complexities than existing techniques.

Now-a-days many industries are moving towards digitalization, the healthcare industry is one of them. The electronic health records contain a voluminous amount of personal information that can be used for fraudulent insurance claims, obtain prescription medications, cause identity theft. In this work, we have proposed an image encryption mechanism to secure medical image data from unauthorized users. The chaotic logistic map and linear feedback shift register are employed for securing medical image data. The chaotic logistic map and the linear feedback shift register (LFSR) generate two pseudo random sequences. Then an XOR operation is performed on these sequences to generate the key used for encryption. The generated key and security related transformations are then applied to generate cipher medical image data. The chaotic maps provide random behaviour to the algorithm and are highly sensitive to initial conditions which provide additional security to the system. The proposed work can efficiently secure several formats of medical images and is also resistant to various security attacks like brute-force, man-in-the-middle, etc.

Currently, new models such as mobile clouds and data warehouses have been selected to handle records. This approach reduces costs and increases availability. However, these technologies face some problems due to uncertainties, such as data privacy, flexibility, network security, attacks, and missing transparency. In particular, sensitive applications data such as medical certificates, data distribution, and student certificate maintenance. It is essential to check the reliability of these applications. The number of scams on this issue is increasing day by day. Therefore, in this paper, we propose a blockchain-based model for the issuance and distribution of medical certificates. It reduces fraud on medical certificates such as birth, death, and sick leave due to the blockchain technical features such as immutability, transparency, security, and distribution. Furthermore, this application's vital purpose is to quickly analyze and estimate the birth and death rate due to blockchain symptoms. As part of the literature survey number of existing works were interpreted as part of the literature survey, but the maximum number of documents failed to show their implementation with the results. The main strength of the paper is the literature survey, results, and analysis. Distributed based public blockchain and metamask used to develop the proposed framework. The results show medical certificate generation and verification and the gas(cryptocurrency) consumption to store certificate credentials into a blockchain as a transaction

IoT plays a vital role in everyday life of a human being. It is almost used in every domains. Every year crops growth is reduced due to lack of climatic conditions and inadequate of nutrients supports. Soil fertility is the most important factor to be considered while growing a crop. The measurement of Soil nutrients is required for a better plant growth. All soils are not suitable for all types of crops. In this work, the proposed mechanism is to effectively predict the crop which is suitable to that soil. Conventional soli testing process uses chemicals to test the soil fertility and it is a time taken process. This issue has been resolved by proposing a mechanism that monitors by taking all the parameters into account that can predict the crop by depending upon the pH, moisture, temperature and humidity values. The main objective of this work is that it produces accurate and reliable results and also cost-effective when compared to other existing mechanisms. It helps the farmer to analyze the fertility of their field and plant the better crop to increase their productivity and profit.

Advanced privacy preservation approaches are used to be protecting sensitive and important data of various application areas like Communication systems, Healthcare, Education and Financial Sector. In the Healthcare area, the important and sensitive task is a medical certificate that acts as medical evidence of a person which helps for many purposes. Deception in issuance as well as in verification of medical certificates has existed for a long time in health care centers due to lack of reliable mechanisms. In the issue of medical evidence to a person, needs to consider a method which has advanced features like transparency, immutable, reliable and decentralized properties. Hence, in this paper, blockchain technology is used to design and develop a model with advanced features for reducing forgery in medical pieces of evidence. In this approach, a regulatory body will authorize the Health care centers (Hospitals) for issuing medical certificates to the required persons in a decentralized approach. Here smart contract system helps to verify the certificate authenticity from any authorized one in the world. The main strength of the paper gives the Blockchain-based model as a solution to the issue related to proof of a certificate of medical evidence.

Automobile utilization is increasing day by day; it causes many issues. Through advanced techniques like Internet of Things-IoT can reduce the issues which are facing in Automobile based applications. In this paper, proposed a system that can give solutions to the issues facing in the automobile applications by the users with a token authentication method. It helps to avoid security threats on vehicle operation. The main identified issues by the literature work are the issues faced at parking place and it can be resolved by controlling the vehicle through buttons and mobile tilting, infeasible to do long drive can be overcome with mobile tilting and native language voice commands, and automobiles used by the impaired people can be avoided by commanding through voice in their native language through Google assistant. Incorporating Google assistance over Wi-Fi and IoT security services into our system can help to control automobile devices with authentication feature. The main strength of the paper is comparison results with the existing literature in this area and it is the least cost application with security features.

In recent years, technology plays a key role in many applications like smart city, online banking and others. In democratic countries, voting system is emerging as an indispensable model to select the right leader. Despite the hype, the current voting system requires more integrity and privacy to protect confidential information. This can be achieved by utilizing various state-of-the-art technical approaches present in this digital world. Hence, to improve the security features of the voting system, the proposed work has implemented blockchain technology into the existing voting system. This technology has unique features like immutable and distributive nature to reduce the attacks and threats on the voting system. By considering the sensitivity of the voters' data, here Dagger Hash algorithm and ETH/TRX crypto coins are used to develop a BCT based voting system. These methods can help in achieving the specified features.

Cyber Crime is an illegal activity in which offender makes use of the smart devices such as computers and other network devices as the primary source in order to gain some profit from the victim by violating the rules. Cyber attacks are persistently rising, detection of cyber crimes and providing preventive measures by manual investigation are often failed to control the cyber attacks. Therefore, machine learning plays a vital role in detecting those cybercrimes. It has the ability to detect and analyze the cyber attack and provides the preventive measures in order to reduce the incarnation of the cyber crimes. Therefore, incorporating machine learning techniques such as classification and clustering into our framework can help to build a cyber crime detection system and prediction of cyber attacks annually. Existing literature in the area of cybercrime offences by feature extraction focuses on several techniques. In this a novel framework for cybercrime offences by feature extractions is proposed. In this proposed framework one can upload any unstructured cyber crime report to generate the structure data through TFID technique. Later this framework can give a report on categorization and resolution of the cyber crime offences (especially ID theft, Hacking and Copyright attacks) by its severity and occurrence. It is achieved by extracting the feature description using text mining algorithms and by using the performance measurements and prediction analysis of cyber crime.

Now a days the world is getting digitalized. The digital technologies are important in everyday life. In this digital world providing security to sensitive data like medical records, bank details are also important. So, Information Security is primary concern for every communication system. The continuous growth of Internet and many other new technologies has made the extensive use of multimedia files unavoidable. The most of the existing studies have concentrated on information security mechanisms only. In this paper, proposed a framework for protecting the multimedia medical records. This system can able to work based on public key Infrastructure cipher as comprehensive cipher. The main strength of this work is analyzed its complexity based on the computational time over the integrated data.

Now- a- days, Internet has been used widely, law enforcement authorities have concerns regarding the trafficking of illicit materials like web images and videos, providing privacy and confidentiality to those materials is a major concern. Image data transaction over internet has become a major threat as those images contain hidden payload. People have desire to keep certain sensitive communications secret for thousands of years. In or new age of digital media and internet communications; this need often seems even more pressing. There is a need to identify the Stego data. The art of detecting the messages using steganography referred as Steganalysis. Developing such an application that identifies whether the selected image is a Stego image or not is highly recommended which can scan, detect and notify the user about the presence of payload. This paper is to identify the Stego image, non-Stego images, Stego videos and non-Stego video that can select the hidden payload. The main strength of this work is analysis and testing the proposed approach which has used to detect the hidden payload.

The Corrected Block TEA known as XXTEA is a symmetric Block cipher which is as fast as DES. This cipher has got a simple structure compared to DES. Some experiments have shown that XXTEA is susceptible to related key attack. This Paper proposes a technique to enhance the security of XXTEA by coupling it with a chaotic system. This cipher has been tested on both text files and images. This cipher is more secure, and achieves the idea behind one time pad. It has the flexibility to work with different block sizes of plaintext. It is fast in operation and precise in restoration.

Testing of radar based systems is an arduous exercise and it is essential to develop a real-time radar simulator for testing such systems. However, as radar simulation test bed demands more computational resources to meet the real-time deadlines, it turns out to be more complicated than the system being tested. Distributed computing provides an elegant solution for its need of high computational resources. However, it calls for data, event and time synchronization among the processors. In this paper, we present a successful realization of distributed real-time Radar Simulation Test bed for testing mission critical systems.

Techno media is playing an important role on secure information due to rapid growth of the media. In telemedicine while transferring medical images tampers may be happened. As a part of protecting the information from the attacker, steganography is the art of hiding the information inside the cover medium with different carrier formats. In this paper, we propose a novel squint pixel based medical image steganographic technique to avoid easily distortion by an attacker. In this method, Original medical image itself acts as carrier image. A Medical image segmented into three sets of pixels, ROI and RONI and Border Pixels. The authentication data of ROI embedded in Squint Pixels of Border Pixels and information of ROI of medical image embedded in PLSB of squint pixels of RONI. Results of experiments on various medical images show that the proposed method produces high quality stego medical images with high accuracy and recovery of ROI data without loss.

Information security has a major role to play in terms of integrity and confidentiality of the information. A number of security algorithms have been designed and developed to ensure secrecy of the data and to protect it from being stolen or modified by the attacker. A major problem in terms of security issue is confidentiality — which the security algorithms have failed in. No security algorithm is foolproof in giving 100% security to the information. All the security algorithms generate the cipher text in the form of cryptic which was in unreadable format and this is the main reason behind the attacks. In this paper we would like to propose a new security algorithm to get the cipher text as readable and understandable format as this would make it less chances for an attacker to suspect in regard to the secret data. The proposed algorithm with comparative analysis report is the main strength of this paper.

Distributed Denial of Service (DDoS) is a type of attack in which the attacker tries to degrade the performance of server (or) network so that the server may not provide service to legitimate users. Since there is a huge increase in DDoS attacks which has created many financial losses in the E-Commerce world. To avoid the losses incurred because of DDoS attacks, efficient mechanisms are required to counter these attacks. In the proposed approach routers collectively try to mitigate the DDoS attack on the server. There are three steps in the proposed approach, initially, for attack detection and classification destination router (which is attached to the victim) monitors continuously the traffic pattern. Second, once the attack is detected destination router tries to balance the load using the NAT (Network Address Translator). Third, whenever the attack is detected to mitigate different types of attacks, the signature is pushback to upstream routers so that the upstream routers start monitoring the traffic and apply the mitigation mechanism depending on type of attack detected.